曹晓锋｜同济大学｜学者主页

2026

Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking

Bo-Hao Qu, Xiaofeng Cao, Bing Li, Meng-Lin Zhang, Tuan-Anh Vu, Di Lin, Qing Guo

AAAI Conference on Artificial Intelligence

DOI

2026

Generalized Distribution Aggregation Protocol for Federated Statistical Heterogeneity

Mingwei Xu, Xiaofeng Cao, Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Heng Tao Shen

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2026

Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning

Disen Hu, Xun Jiang, Xiaofeng Cao, Zheng Wang, Jingkuan Song, Heng Tao Shen, Xing Xu

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Positional Relation Contextual Mixing for Imbalanced Classification

Yucheng Jiang, Jiateng Li, Yuan Tian, Jiangchao Yao, Xin Yu, Wei Ye, Xiaofeng Cao

Machine Learning

DOI

2025

K-FLARE: A knowledge-fused language and relational-learning framework for rumor detection

Jiawei Zhao, Jiangna Li, Yaqin Wu, Xiaofeng Cao

Knowledge-Based Systems

DOI

2025

Lighting is Unreliable: Adversarial Video Relighting Against rPPG Heart Rate Measurement

Meng-Lin Zhang, Xiao-Xin Guo, Xiaofeng Cao, Shui-Fa Sun, Hua-Zhu Fu, Qing Guo

IEEE Transactions on Information Forensics and Security

DOI

2025

Towards a structured analysis of domain perturbations in Tubular Geometry

Yang Tao, Xiaofeng Cao, Yi Chang

Pattern Recognition

DOI

2025

Universal Stabilization for Maximum Entropy Optimization in Reinforcement Learning

Xing Chen, Ye-Wen Li, Xiaofeng Cao, He-Chang Chen, Heng-Shuai Yao, Bo An, Yi Chang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2025

ViDR-GNN: Vision Implicit Discriminative Reorganization Graph Neural Networks

Zeyang Zhang, Xiaofeng Cao, Xiang Zhang, Li Peng, Lijia Ma, Jielong Yang

IEEE Transactions on Multimedia

DOI

2025

PhysLight: Accurate rPPG Heart Rate Measurement with Adaptive Video Relighting

Menglin Zhang, Xiaoxin Guo, Bohao Qu, Xiaofeng Cao, Shuifa Sun, Qing Guo

IEEE International Conference on Multimedia and Expo (ICME)

DOI

2024

Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks

Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Mu-Han Zhang, Hechang Chen, Yi Chang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

Improving Augmentation Consistency for Graph Contrastive Learning

Weixin Bu, Xiaofeng Cao, Yizhen Zheng, Shirui Pan

Pattern Recognition

DOI

2023

Towards fidelity of graph data augmentation via equivariance

Bai Zhang, Yixing Gao, Feng Ji, Linbo Xie, Xiaofeng Cao, Yixiang Shan, Jielong Yang

Knowledge-Based Systems

DOI

2023

Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective

Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang

Information Sciences

DOI

2020

A divide-and-conquer approach to geometric sampling for active learning

Xiaofeng Cao

Expert Systems With Applications，Vol. 140

DOI

2017

基于矩阵模型的高维聚类边界模式发现

李向丽，曹晓锋，邱保志

《自动化学报》

DOI

2017

面向维度的高维聚类边界检测技术研究

曹晓锋

《郑州大学》

曹晓锋

精选作品

期刊论文

Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking

Generalized Distribution Aggregation Protocol for Federated Statistical Heterogeneity

Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning

Positional Relation Contextual Mixing for Imbalanced Classification

K-FLARE: A knowledge-fused language and relational-learning framework for rumor detection

Lighting is Unreliable: Adversarial Video Relighting Against rPPG Heart Rate Measurement

Towards a structured analysis of domain perturbations in Tubular Geometry

Universal Stabilization for Maximum Entropy Optimization in Reinforcement Learning

ViDR-GNN: Vision Implicit Discriminative Reorganization Graph Neural Networks

PhysLight: Accurate rPPG Heart Rate Measurement with Adaptive Video Relighting

Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks

Improving Augmentation Consistency for Graph Contrastive Learning

Towards fidelity of graph data augmentation via equivariance

Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective

A divide-and-conquer approach to geometric sampling for active learning

基于矩阵模型的高维聚类边界模式发现

面向维度的高维聚类边界检测技术研究